code: def test_meanshift_predict(global_dtype):
      # Test MeanShift.predict
      ms = MeanShift(bandwidth=1.2)
      X_with_global_dtype = X.astype(global_dtype, copy=False)
      labels = ms.fit_predict(X_with_global_dtype)
      labels2 = ms.predict(X_with_global_dtype)
      assert_array_equal(labels, labels2)
  
file_path: scikit-learn/sklearn/cluster/tests/test_mean_shift.py
imports: import warnings
  import numpy
  import pytest
  from sklearn.cluster import MeanShift, estimate_bandwidth, get_bin_seeds, mean_shift
  from sklearn.datasets import make_blobs
  from sklearn.metrics import v_measure_score
  from sklearn.utils._testing import assert_allclose, assert_array_equal
label_desc: Use image node_id 5 for calling a global function with example usage: test_meanshift_predict(global_dtype) without return types